Wearable Depth Camera: Monocular Depth Estimation via Sparse Optimization Under Weak Supervision

Wearable Depth Camera: Monocular Depth Estimation via Sparse Optimization Under Weak Supervision

Depth estimation is essential for many human-object interaction tasks. Despite its advantages, traditional depth sensors, including Kinect or depth camera, are always not wearable-friendly due to several critical drawbacks, such as over-size or over-weight. Monocular camera, on the other hand, provi...

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Bibliographic Details
Main Authors: Li He, Chuangbin Chen, Tao Zhang, Haife Zhu, Shaohua Wan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Wearable devices
depth estimation
deep learning
weak supervision
sparse optimization
Online Access:https://ieeexplore.ieee.org/document/8413080/

Internet

https://ieeexplore.ieee.org/document/8413080/

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